Identification and model reduction of 2-D systems via the extended impulse response Gramians

被引:16
作者
Xiao, CS
Sreeram, V
Liu, WQ
Venetsanopoulos, AN
机构
[1] Univ Sydney, Sydney, NSW 2006, Australia
[2] Univ Western Australia, Dept Elect & Elect Engn, Perth, WA 6009, Australia
[3] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada
关键词
two-dimensional systems; model reduction; system identification; extended impulse response Gramians; 2-D separable denominator systems;
D O I
10.1016/S0005-1098(97)00168-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The horizontal and vertical extended impulse response Gramians (EIRG) of causal recursive separable denominator (CRSD) 2-D digital systems are defined in this paper. Based on the 2-D EIRG, a new identification and model reduction algorithm is presented for 2-D CRSD systems. It is shown that the reduced-order system has three important properties. First, the 2-D EIRG of the reduced-order 2-D system approximate the 2-D EIRG of the original 2-D system. Second, the 2-D system obtained is a suboptimal solution to the minimization of the energy of the 2-D error system between the original 2-D system and the reduced-order system. Finally, the structure of the reduced-order 2-D system is convergent to a balanced realization. Furthermore, the present algorithm can handle impulse response data of deterministic or stochastic nature for 2-D system identification application. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
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页码:93 / 101
页数:9
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